The article discusses how research in Oncology aims to find the best treatment for patients by comparing different therapies. Randomized trials are the best way to do this, as they can show cause-and-effect relationships between treatments and outcomes. However, using population-based registry analysis is becoming more popular because it is faster and cheaper. Yet, this method often leads to incorrect results due to biases and confounding factors. Statistical methods are not effective in overcoming these limitations.